Abstract
The structural performance of any transport network may be mainly evaluated using connectivity, accessibility, hierarchy and morphology. The evaluation of accessibility is one of the most important aspect in defining the performance of a road network structure. The present study is concerned with proposing a methodology for the city—level opportunity (or) urban services and distance based accessibility evaluation. The various opportunities (or) urban services like schools, colleges, ATM’s, banks, hospitals, police stations, petrol bunks, bus stops, parks and theatres up to a specified distance of 0–5 km radius were considered for the analysis. The weights were assigned to different opportunities and were analyzed using Weighted Scoring Model. The Mean Weighted Accessibility Index has been determined for each location to identify the level of accessibility in a particular location. The study attempts to define the level of road network accessibility at different locations in the study area. In the later stage, this study tried to establish the relationship between the number of opportunities and trip attraction rates and the results were discussed. The present work was also intended to prove the efficiency of Geographical Information Systems in opportunity based accessibility assessment.
Similar content being viewed by others
References
Hansen, W. (1959). How accessibility shapes land use. Journal of the American Institute of the Planners,25, 73–76.
Dalvi, M. Q., & Martin, K. M. (1976). The measurement of accessibility: Some preliminary results. Transportation,5, 17–42.
Burns, L. D. (1979). Transportation, Temporal and Spatial Components of Accessibility. Lexington: Lexington Books.
Avika, B., & Lerman, (1977). Disaggregate travel and mobility choice models and measures of accessibility. In Hensherd & P. Stopher (Eds.), Behavioural travel modelling (pp. 654–679). London: Croom Helm.
Mackiewicz, A., & Ratajczak, W. (1996). Towards a new definition of topological accessibility. Transportation Research Part B,30(1), 47–79.
Ahmed, G. M. E. I., & Levinson, M. D. (2006). Access to destinations: Development of accessibility measures. Minnesota: In research report published by Minnesota Department of Transportation.
Wu, Y. H., & Miller, H. J. (2002). Computational tools for measuring space-time accessibility within transportation networks with dynamic flow. Journal of Transportation Statistics,4(2/3), 1–14.
Bhat, C., Handy, S., Kockelamn, K., Mahmassani, H., Chen, Q & Weston, L., (2002). Urban accessibility index: Literature review. Research Report TX 01/7-4938-01, Texas Department of Transportation, TX.
Ingram, D. R. (1971). The concept of accessibility: A search for an operational form. Regional Studies,5, 101–107.
Handy, S. L., & Niemeier, D. A. (1977). Measuring accessibility: An exploration of issues and alternatives. Environment and Planning A,29, 1175–1194.
Liu, C., & Yu, R. (2012). Spatial accessibility of road network in Wuhan metropolitan area based on spatial syntax. Journal of Geographic Information System,4, 128–135.
Weiping, H., & Chi, W. (2014). Urban road network accessibility evaluation method based on GIS spatial analysis techniques. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38 Part II, 114–117.
Ford, A. C., Barr, S. L., Dawson, R. J., & James, P. (2015). Transport accessibility analysis using GIS: Assessing sustainable transport in London. ISPRS, International Journal of Geo Information,4, 124–149. https://doi.org/10.3390/ijgi4010124.
Modinpuroju, A., Prasad, C. S. R. K., & Chandra, M. (2016). Facility-based planning methodology for rural roads using spatial analysis techniques. Innovative Infrastructure Solutions,1, 41. https://doi.org/10.1007/s41062-016-0041-8.
Report on Data Compilation and Statistical Analysis, Consultancy services for Comprehensive Transportation Study (CTS) for Hyderabad Metropolitan Area (HMA).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that there are no potential conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Sahitya, K.S., Prasad, C.S.R.K. Evaluation of opportunity based urban road network accessibility using GIS. Spat. Inf. Res. 28, 487–493 (2020). https://doi.org/10.1007/s41324-019-00309-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s41324-019-00309-6